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The latest on-device inference news, distilled by AI into sharp ~100-word summaries. ByteBrief tracks on-device inference across dozens of tech sources and brings you only what matters, updated hourly. Tap any story for the full brief, or open the original source.
Liquid AI released LFM2.5-230M, its smallest 230-million-parameter model for agentic tasks on edge hardware. The open-weight model supports llama.cpp, MLX, vLLM, SGLang, and ONNX. It targets data extraction and tool use on phones, robots, and automation devices.
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